Trust Assessment
solana-sniper-architect received a trust score of 87/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned dependencies in generated requirements.txt.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | skills/wterry57/solana-sniper-architect/SKILL.md:1 | |
| MEDIUM | Unpinned dependencies in generated requirements.txt The skill instructs the LLM to generate a `requirements.txt` file with unpinned versions of packages (`solana`, `solders`, `requests`, `python-dotenv`). This practice can introduce supply chain risks, as future versions of these dependencies might contain breaking changes, security vulnerabilities, or malicious code. Without explicit version pinning, the generated bot's environment may not be reproducible or secure over time. Modify the skill's instructions to require specific, pinned versions for all dependencies in the `requirements.txt` file (e.g., `package==X.Y.Z`). This ensures reproducibility and mitigates risks associated with unverified or malicious updates to upstream packages. For example, `solana==0.28.1`, `solders==0.19.0`, etc. | LLM | SKILL.md:20 |
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